{"id":13751016,"url":"https://github.com/labex-labs/sklearn-free-tutorials","last_synced_at":"2025-05-04T06:32:52.831Z","repository":{"id":241207960,"uuid":"804641917","full_name":"labex-labs/sklearn-free-tutorials","owner":"labex-labs","description":"[scikit-learn Free Tutorials]-scikit-learn is a Python library for machine learning. It provides a wide range of algorithms and tools for data mining and analysis. 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This Skill Tree offers a comprehensive learning path for mastering scikit-learn. Ideal for data science beginners, it provides a structured roadmap to understand ML algorithms, model selection, and evaluation. Through hands-on, non-video courses and practical exercises in a data science playground, you'll gain real-world experience in implementing machine learning solutions.\n\n| Index | Name | Difficulty | Tutorial Link |\n|---------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------|----------------------------------------------------------------------------------------------------------------|\n| 001 | [📖 Linear Models in Scikit-Learn](https://labex.io/tutorials/ml-linear-models-in-scikit-learn-71093) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-linear-models-in-scikit-learn-71093) |\n| 002 | [📖 Discriminant Analysis Classifiers Explained](https://labex.io/tutorials/ml-discriminant-analysis-classifiers-explained-71094) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-discriminant-analysis-classifiers-explained-71094) |\n| 003 | [📖 Exploring Scikit-Learn Datasets and Estimators](https://labex.io/tutorials/ml-exploring-scikit-learn-datasets-and-estimators-71095) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-exploring-scikit-learn-datasets-and-estimators-71095) |\n| 004 | [📖 Kernel Ridge Regression](https://labex.io/tutorials/ml-kernel-ridge-regression-71096) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-kernel-ridge-regression-71096) |\n| 005 | [📖 Supervised Learning with Scikit-Learn](https://labex.io/tutorials/ml-supervised-learning-with-scikit-learn-71097) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-supervised-learning-with-scikit-learn-71097) |\n| 006 | [📖 Model Selection: Choosing Estimators and Their Parameters](https://labex.io/tutorials/ml-model-selection-choosing-estimators-and-their-parameters-71098) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-model-selection-choosing-estimators-and-their-parameters-71098) |\n| 007 | [📖 Supervised Learning with Support Vectors](https://labex.io/tutorials/ml-supervised-learning-with-support-vectors-71099) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-supervised-learning-with-support-vectors-71099) |\n| 008 | [📖 Exploring Scikit-Learn SGD Classifiers](https://labex.io/tutorials/ml-exploring-scikit-learn-sgd-classifiers-71100) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-exploring-scikit-learn-sgd-classifiers-71100) |\n| 009 | [📖 Unsupervised Learning: Seeking Representations of the Data](https://labex.io/tutorials/ml-unsupervised-learning-seeking-representations-of-the-data-71101) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-unsupervised-learning-seeking-representations-of-the-data-71101) |\n| 010 | [📖 Implementing Stochastic Gradient Descent](https://labex.io/tutorials/ml-implementing-stochastic-gradient-descent-71102) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-implementing-stochastic-gradient-descent-71102) |\n| 011 | [📖 Working with Text Data](https://labex.io/tutorials/ml-working-with-text-data-71103) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-working-with-text-data-71103) |\n| 012 | [📖 Gaussian Process Regression and Classification](https://labex.io/tutorials/ml-gaussian-process-regression-and-classification-71104) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gaussian-process-regression-and-classification-71104) |\n| 013 | [📖 Dimensional Reduction with PLS Algorithms](https://labex.io/tutorials/ml-dimensional-reduction-with-pls-algorithms-71105) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-dimensional-reduction-with-pls-algorithms-71105) |\n| 014 | [📖 Naive Bayes Example](https://labex.io/tutorials/ml-naive-bayes-example-71106) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-naive-bayes-example-71106) |\n| 015 | [📖 Decision Tree Classification with Scikit-Learn](https://labex.io/tutorials/ml-decision-tree-classification-with-scikit-learn-71107) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-decision-tree-classification-with-scikit-learn-71107) |\n| 016 | [📖 Scikit-Learn Classifier Comparison](https://labex.io/tutorials/ml-scikit-learn-classifier-comparison-49080) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-classifier-comparison-49080) |\n| 017 | [📖 Text Document Classification](https://labex.io/tutorials/ml-text-document-classification-49117) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-text-document-classification-49117) |\n| 018 | [📖 Feature Discretization for Classification](https://labex.io/tutorials/ml-feature-discretization-for-classification-49113) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-feature-discretization-for-classification-49113) |\n| 019 | [📖 Pipelines and Composite Estimators](https://labex.io/tutorials/ml-pipelines-and-composite-estimators-71128) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-pipelines-and-composite-estimators-71128) |\n| 020 | [📖 Feature Scaling in Machine Learning](https://labex.io/tutorials/ml-feature-scaling-in-machine-learning-49277) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-feature-scaling-in-machine-learning-49277) |\n| 021 | [📖 Constructing Scikit-Learn Pipelines](https://labex.io/tutorials/ml-constructing-scikit-learn-pipelines-49247) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-constructing-scikit-learn-pipelines-49247) |\n| 022 | [📖 Scikit-Learn Iterative Imputer](https://labex.io/tutorials/ml-scikit-learn-iterative-imputer-49173) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-iterative-imputer-49173) |\n| 023 | [📖 Manifold Learning on Handwritten Digits](https://labex.io/tutorials/ml-manifold-learning-on-handwritten-digits-49199) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-manifold-learning-on-handwritten-digits-49199) |\n| 024 | [📖 Digit Classification with RBM Features](https://labex.io/tutorials/ml-digit-classification-with-rbm-features-49259) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-digit-classification-with-rbm-features-49259) |\n| 025 | [📖 Column Transformer with Mixed Types](https://labex.io/tutorials/ml-column-transformer-with-mixed-types-49086) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-column-transformer-with-mixed-types-49086) |\n| 026 | [📖 Using Set_output API](https://labex.io/tutorials/ml-using-set-output-api-49285) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-using-set-output-api-49285) |\n| 027 | [📖 Semi-Supervised Text Classification](https://labex.io/tutorials/ml-semi-supervised-text-classification-49281) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-semi-supervised-text-classification-49281) |\n| 028 | [📖 Comparison of Calibration of Classifiers](https://labex.io/tutorials/ml-comparison-of-calibration-of-classifiers-49088) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-comparison-of-calibration-of-classifiers-49088) |\n| 029 | [📖 Detection Error Tradeoff Curve](https://labex.io/tutorials/ml-detection-error-tradeoff-curve-49103) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-detection-error-tradeoff-curve-49103) |\n| 030 | [📖 Dimensionality Reduction with Pipeline and GridSearchCV](https://labex.io/tutorials/ml-dimensionality-reduction-with-pipeline-and-gridsearchcv-49092) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-dimensionality-reduction-with-pipeline-and-gridsearchcv-49092) |\n| 031 | [📖 Probability Calibration Curves](https://labex.io/tutorials/ml-probability-calibration-curves-49073) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-probability-calibration-curves-49073) |\n| 032 | [📖 Anomaly Detection Algorithms Comparison](https://labex.io/tutorials/ml-anomaly-detection-algorithms-comparison-49065) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-anomaly-detection-algorithms-comparison-49065) |\n| 033 | [📖 Precision-Recall Metric for Imbalanced Classification](https://labex.io/tutorials/ml-precision-recall-metric-for-imbalanced-classification-49249) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-precision-recall-metric-for-imbalanced-classification-49249) |\n| 034 | [📖 Univariate Feature Selection](https://labex.io/tutorials/ml-univariate-feature-selection-49127) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-univariate-feature-selection-49127) |\n| 035 | [📖 Feature Selection for SVC on Iris Dataset](https://labex.io/tutorials/ml-feature-selection-for-svc-on-iris-dataset-49306) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-feature-selection-for-svc-on-iris-dataset-49306) |\n| 036 | [📖 Approximate Nearest Neighbors in TSNE](https://labex.io/tutorials/ml-approximate-nearest-neighbors-in-tsne-49054) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-approximate-nearest-neighbors-in-tsne-49054) |\n| 037 | [📖 Creating Visualizations with Display Objects](https://labex.io/tutorials/ml-creating-visualizations-with-display-objects-49116) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-creating-visualizations-with-display-objects-49116) |\n| 038 | [📖 Transforming Target for Linear Regression](https://labex.io/tutorials/ml-transforming-target-for-linear-regression-49321) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-transforming-target-for-linear-regression-49321) |\n| 039 | [📖 Gradient Boosting with Categorical Features](https://labex.io/tutorials/ml-gradient-boosting-with-categorical-features-49149) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gradient-boosting-with-categorical-features-49149) |\n| 040 | [📖 Building Machine Learning Pipelines with Scikit-Learn](https://labex.io/tutorials/ml-building-machine-learning-pipelines-with-scikit-learn-49126) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-building-machine-learning-pipelines-with-scikit-learn-49126) |\n| 041 | [📖 Face Recognition with Eigenfaces and SVMs](https://labex.io/tutorials/ml-face-recognition-with-eigenfaces-and-svms-49123) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-face-recognition-with-eigenfaces-and-svms-49123) |\n| 042 | [📖 Concatenating Multiple Feature Extraction Methods](https://labex.io/tutorials/ml-concatenating-multiple-feature-extraction-methods-49129) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-concatenating-multiple-feature-extraction-methods-49129) |\n| 043 | [📖 Class Likelihood Ratios to Measure Classification Performance](https://labex.io/tutorials/ml-class-likelihood-ratios-to-measure-classification-performance-49196) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-class-likelihood-ratios-to-measure-classification-performance-49196) |\n| 044 | [📖 Plot PCR vs PLS](https://labex.io/tutorials/ml-plot-pcr-vs-pls-49243) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-pcr-vs-pls-49243) |\n| 045 | [📖 Multiclass and Multioutput Algorithms](https://labex.io/tutorials/ml-multiclass-and-multioutput-algorithms-71109) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-multiclass-and-multioutput-algorithms-71109) |\n| 046 | [📖 Impute Missing Data](https://labex.io/tutorials/ml-impute-missing-data-49213) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-impute-missing-data-49213) |\n| 047 | [📖 MNIST Multinomial Logistic Regression](https://labex.io/tutorials/ml-mnist-multinomial-logistic-regression-49297) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-mnist-multinomial-logistic-regression-49297) |\n| 048 | [📖 Outlier Detection Using Scikit-Learn Algorithms](https://labex.io/tutorials/ml-outlier-detection-using-scikit-learn-algorithms-49236) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-outlier-detection-using-scikit-learn-algorithms-49236) |\n| 049 | [📖 Multiclass ROC Evaluation with Scikit-Learn](https://labex.io/tutorials/ml-multiclass-roc-evaluation-with-scikit-learn-49275) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-multiclass-roc-evaluation-with-scikit-learn-49275) |\n| 050 | [📖 Text Feature Extraction and Evaluation](https://labex.io/tutorials/ml-text-feature-extraction-and-evaluation-49157) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-text-feature-extraction-and-evaluation-49157) |\n| 051 | [📖 Feature Transformations with Ensembles of Trees](https://labex.io/tutorials/ml-feature-transformations-with-ensembles-of-trees-49128) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-feature-transformations-with-ensembles-of-trees-49128) |\n| 052 | [📖 Multi-Layer Perceptron Regularization](https://labex.io/tutorials/ml-multi-layer-perceptron-regularization-49214) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-multi-layer-perceptron-regularization-49214) |\n| 053 | [📖 K-Means Clustering on Handwritten Digits](https://labex.io/tutorials/ml-k-means-clustering-on-handwritten-digits-49180) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-k-means-clustering-on-handwritten-digits-49180) |\n| 054 | [📖 Polynomial Kernel Approximation with Scikit-Learn](https://labex.io/tutorials/ml-polynomial-kernel-approximation-with-scikit-learn-49276) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-polynomial-kernel-approximation-with-scikit-learn-49276) |\n| 055 | [📖 Scikit-Learn Visualization API](https://labex.io/tutorials/ml-scikit-learn-visualization-api-49274) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-visualization-api-49274) |\n| 056 | [📖 Iris Flower Classification using Voting Classifier](https://labex.io/tutorials/ml-iris-flower-classification-using-voting-classifier-49328) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-iris-flower-classification-using-voting-classifier-49328) |\n| 057 | [📖 Plot Nca Classification](https://labex.io/tutorials/ml-plot-nca-classification-49223) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-nca-classification-49223) |\n| 058 | [📖 Plot Digits Pipe](https://labex.io/tutorials/ml-plot-digits-pipe-49112) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-digits-pipe-49112) |\n| 059 | [📖 Scikit-Learn Estimators and Pipelines](https://labex.io/tutorials/ml-scikit-learn-estimators-and-pipelines-49120) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-estimators-and-pipelines-49120) |\n| 060 | [📖 Balance Model Complexity and Cross-Validated Score](https://labex.io/tutorials/ml-balance-model-complexity-and-cross-validated-score-49156) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-balance-model-complexity-and-cross-validated-score-49156) |\n| 061 | [📖 Effect of Varying Threshold for Self-Training](https://labex.io/tutorials/ml-effect-of-varying-threshold-for-self-training-49280) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-effect-of-varying-threshold-for-self-training-49280) |\n| 062 | [📖 Multi-Label Document Classification](https://labex.io/tutorials/ml-multi-label-document-classification-49221) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-multi-label-document-classification-49221) |\n| 063 | [📖 Text Classification Using Out-of-Core Learning](https://labex.io/tutorials/ml-text-classification-using-out-of-core-learning-49235) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-text-classification-using-out-of-core-learning-49235) |\n| 064 | [📖 Comparing Linear Bayesian Regressors](https://labex.io/tutorials/ml-comparing-linear-bayesian-regressors-49066) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-comparing-linear-bayesian-regressors-49066) |\n| 065 | [📖 Lasso Model Selection](https://labex.io/tutorials/ml-lasso-model-selection-49190) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-lasso-model-selection-49190) |\n| 066 | [📖 Model Selection for Lasso Regression](https://labex.io/tutorials/ml-model-selection-for-lasso-regression-49192) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-model-selection-for-lasso-regression-49192) |\n| 067 | [📖 Recursive Feature Elimination with Cross-Validation](https://labex.io/tutorials/ml-recursive-feature-elimination-with-cross-validation-49268) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-recursive-feature-elimination-with-cross-validation-49268) |\n| 068 | [📖 Feature Selection with Scikit-Learn](https://labex.io/tutorials/ml-feature-selection-with-scikit-learn-71110) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-feature-selection-with-scikit-learn-71110) |\n| 069 | [📖 DBSCAN Clustering Algorithm](https://labex.io/tutorials/ml-dbscan-clustering-algorithm-49102) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-dbscan-clustering-algorithm-49102) |\n| 070 | [📖 Document Biclustering Using Spectral Co-Clustering Algorithm](https://labex.io/tutorials/ml-document-biclustering-using-spectral-co-clustering-algorithm-49069) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-document-biclustering-using-spectral-co-clustering-algorithm-49069) |\n| 071 | [📖 Ensemble Methods Exploration with Scikit-Learn](https://labex.io/tutorials/ml-ensemble-methods-exploration-with-scikit-learn-71108) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-ensemble-methods-exploration-with-scikit-learn-71108) |\n| 072 | [📖 Multi-Class AdaBoosted Decision Trees](https://labex.io/tutorials/ml-multi-class-adaboosted-decision-trees-49056) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-multi-class-adaboosted-decision-trees-49056) |\n| 073 | [📖 Plotting Learning Curves](https://labex.io/tutorials/ml-plotting-learning-curves-49195) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plotting-learning-curves-49195) |\n| 074 | [📖 Categorical Data Transformation using TargetEncoder](https://labex.io/tutorials/ml-categorical-data-transformation-using-targetencoder-49315) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-categorical-data-transformation-using-targetencoder-49315) |\n| 075 | [📖 Underfitting and Overfitting](https://labex.io/tutorials/ml-underfitting-and-overfitting-49324) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-underfitting-and-overfitting-49324) |\n| 076 | [📖 AdaBoost Decision Stump Classification](https://labex.io/tutorials/ml-adaboost-decision-stump-classification-49058) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-adaboost-decision-stump-classification-49058) |\n| 077 | [📖 Plotting Predictions with Cross-Validation](https://labex.io/tutorials/ml-plotting-predictions-with-cross-validation-49101) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plotting-predictions-with-cross-validation-49101) |\n| 078 | [📖 Robust Linear Estimator Fitting](https://labex.io/tutorials/ml-robust-linear-estimator-fitting-49271) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-robust-linear-estimator-fitting-49271) |\n| 079 | [📖 Evaluating Machine Learning Model Quality](https://labex.io/tutorials/ml-evaluating-machine-learning-model-quality-71124) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-evaluating-machine-learning-model-quality-71124) |\n| 080 | [📖 Caching Nearest Neighbors](https://labex.io/tutorials/ml-caching-nearest-neighbors-49072) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-caching-nearest-neighbors-49072) |\n| 081 | [📖 Optimizing Model Hyperparameters with GridSearchCV](https://labex.io/tutorials/ml-optimizing-model-hyperparameters-with-gridsearchcv-49219) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-optimizing-model-hyperparameters-with-gridsearchcv-49219) |\n| 082 | [📖 Gradient Boosting Out-of-Bag Estimates](https://labex.io/tutorials/ml-gradient-boosting-out-of-bag-estimates-49151) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gradient-boosting-out-of-bag-estimates-49151) |\n| 083 | [📖 Image Denoising with Kernel PCA](https://labex.io/tutorials/ml-image-denoising-with-kernel-pca-49108) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-image-denoising-with-kernel-pca-49108) |\n| 084 | [📖 Hashing Feature Transformation](https://labex.io/tutorials/ml-hashing-feature-transformation-49253) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-hashing-feature-transformation-49253) |\n| 085 | [📖 Plotting Classification Probability](https://labex.io/tutorials/ml-plotting-classification-probability-49077) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plotting-classification-probability-49077) |\n| 086 | [📖 Probability Calibration for 3-Class Classification](https://labex.io/tutorials/ml-probability-calibration-for-3-class-classification-49074) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-probability-calibration-for-3-class-classification-49074) |\n| 087 | [📖 Feature Importance with Random Forest](https://labex.io/tutorials/ml-feature-importance-with-random-forest-49132) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-feature-importance-with-random-forest-49132) |\n| 088 | [📖 Discrete Versus Real AdaBoost](https://labex.io/tutorials/ml-discrete-versus-real-adaboost-49055) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-discrete-versus-real-adaboost-49055) |\n| 089 | [📖 Kernel Density Estimation](https://labex.io/tutorials/ml-kernel-density-estimation-49109) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-kernel-density-estimation-49109) |\n| 090 | [📖 Early Stopping of Stochastic Gradient Descent](https://labex.io/tutorials/ml-early-stopping-of-stochastic-gradient-descent-49287) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-early-stopping-of-stochastic-gradient-descent-49287) |\n| 091 | [📖 Plot Sgdocsvm vs Ocsvm](https://labex.io/tutorials/ml-plot-sgdocsvm-vs-ocsvm-49293) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-sgdocsvm-vs-ocsvm-49293) |\n| 092 | [📖 Multiclass Sparse Logistic Regression](https://labex.io/tutorials/ml-multiclass-sparse-logistic-regression-49296) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-multiclass-sparse-logistic-regression-49296) |\n| 093 | [📖 Successive Halving Iterations](https://labex.io/tutorials/ml-successive-halving-iterations-49305) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-successive-halving-iterations-49305) |\n| 094 | [📖 Classify Handwritten Digits with MLP Classifier](https://labex.io/tutorials/ml-classify-handwritten-digits-with-mlp-classifier-49216) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-classify-handwritten-digits-with-mlp-classifier-49216) |\n| 095 | [📖 Color Quantization Using K-Means](https://labex.io/tutorials/ml-color-quantization-using-k-means-49085) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-color-quantization-using-k-means-49085) |\n| 096 | [📖 Model-Based and Sequential Feature Selection](https://labex.io/tutorials/ml-model-based-and-sequential-feature-selection-49279) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-model-based-and-sequential-feature-selection-49279) |\n| 097 | [📖 Discretizing Continuous Features with KBinsDiscretizer](https://labex.io/tutorials/ml-discretizing-continuous-features-with-kbinsdiscretizer-49115) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-discretizing-continuous-features-with-kbinsdiscretizer-49115) |\n| 098 | [📖 Recursive Feature Elimination](https://labex.io/tutorials/ml-recursive-feature-elimination-49267) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-recursive-feature-elimination-49267) |\n| 099 | [📖 Diabetes Prediction Using Voting Regressor](https://labex.io/tutorials/ml-diabetes-prediction-using-voting-regressor-49330) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-diabetes-prediction-using-voting-regressor-49330) |\n| 100 | [📖 Plot Forest Iris](https://labex.io/tutorials/ml-plot-forest-iris-49133) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-forest-iris-49133) |\n| 101 | [📖 Hierarchical Clustering with Connectivity Constraints](https://labex.io/tutorials/ml-hierarchical-clustering-with-connectivity-constraints-49331) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-hierarchical-clustering-with-connectivity-constraints-49331) |\n| 102 | [📖 Hyperparameter Optimization: Randomized Search vs Grid Search](https://labex.io/tutorials/ml-hyperparameter-optimization-randomized-search-vs-grid-search-49256) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-hyperparameter-optimization-randomized-search-vs-grid-search-49256) |\n| 103 | [📖 Validation Curves: Plotting Scores to Evaluate Models](https://labex.io/tutorials/ml-validation-curves-plotting-scores-to-evaluate-models-71125) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-validation-curves-plotting-scores-to-evaluate-models-71125) |\n| 104 | [📖 Post Pruning Decision Trees](https://labex.io/tutorials/ml-post-pruning-decision-trees-49095) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-post-pruning-decision-trees-49095) |\n| 105 | [📖 Ridge Regression for Linear Modeling](https://labex.io/tutorials/ml-ridge-regression-for-linear-modeling-49269) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-ridge-regression-for-linear-modeling-49269) |\n| 106 | [📖 Comparing Online Solvers for Handwritten Digit Classification](https://labex.io/tutorials/ml-comparing-online-solvers-for-handwritten-digit-classification-49286) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-comparing-online-solvers-for-handwritten-digit-classification-49286) |\n| 107 | [📖 Decision Tree Analysis](https://labex.io/tutorials/ml-decision-tree-analysis-49325) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-decision-tree-analysis-49325) |\n| 108 | [📖 Class Probabilities with VotingClassifier](https://labex.io/tutorials/ml-class-probabilities-with-votingclassifier-49329) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-class-probabilities-with-votingclassifier-49329) |\n| 109 | [📖 Plot Forest Hist Grad Boosting Comparison](https://labex.io/tutorials/ml-plot-forest-hist-grad-boosting-comparison-49130) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-forest-hist-grad-boosting-comparison-49130) |\n| 110 | [📖 Clustering Analysis with Silhouette Method](https://labex.io/tutorials/ml-clustering-analysis-with-silhouette-method-49182) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-clustering-analysis-with-silhouette-method-49182) |\n| 111 | [📖 Plot Multinomial and One-vs-Rest Logistic Regression](https://labex.io/tutorials/ml-plot-multinomial-and-one-vs-rest-logistic-regression-49203) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-multinomial-and-one-vs-rest-logistic-regression-49203) |\n| 112 | [📖 Comparing K-Means and MiniBatchKMeans](https://labex.io/tutorials/ml-comparing-k-means-and-minibatchkmeans-49212) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-comparing-k-means-and-minibatchkmeans-49212) |\n| 113 | [📖 Spectral Biclustering Algorithm](https://labex.io/tutorials/ml-spectral-biclustering-algorithm-49300) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-spectral-biclustering-algorithm-49300) |\n| 114 | [📖 Spectral Co-Clustering Algorithm](https://labex.io/tutorials/ml-spectral-co-clustering-algorithm-49301) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-spectral-co-clustering-algorithm-49301) |\n| 115 | [📖 Permutation Feature Importance](https://labex.io/tutorials/ml-permutation-feature-importance-71127) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-permutation-feature-importance-71127) |\n| 116 | [📖 Decision Trees on Iris Dataset](https://labex.io/tutorials/ml-decision-trees-on-iris-dataset-49167) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-decision-trees-on-iris-dataset-49167) |\n| 117 | [📖 Nested Cross-Validation for Model Selection](https://labex.io/tutorials/ml-nested-cross-validation-for-model-selection-49227) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-nested-cross-validation-for-model-selection-49227) |\n| 118 | [📖 Permutation Test Score for Classification](https://labex.io/tutorials/ml-permutation-test-score-for-classification-49246) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-permutation-test-score-for-classification-49246) |\n| 119 | [📖 Scaling Regularization Parameter for SVMs](https://labex.io/tutorials/ml-scaling-regularization-parameter-for-svms-49311) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scaling-regularization-parameter-for-svms-49311) |\n| 120 | [📖 Plotting Validation Curves](https://labex.io/tutorials/ml-plotting-validation-curves-49326) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plotting-validation-curves-49326) |\n| 121 | [📖 Tuning Hyperparameters of an Estimator](https://labex.io/tutorials/ml-tuning-hyperparameters-of-an-estimator-71123) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-tuning-hyperparameters-of-an-estimator-71123) |\n| 122 | [📖 Digits Classification using Scikit-Learn](https://labex.io/tutorials/ml-digits-classification-using-scikit-learn-49106) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-digits-classification-using-scikit-learn-49106) |\n| 123 | [📖 Revealing Iris Dataset Structure via Factor Analysis](https://labex.io/tutorials/ml-revealing-iris-dataset-structure-via-factor-analysis-49327) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-revealing-iris-dataset-structure-via-factor-analysis-49327) |\n| 124 | [📖 Plot Topics Extraction with NMF Lda](https://labex.io/tutorials/ml-plot-topics-extraction-with-nmf-lda-49319) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-topics-extraction-with-nmf-lda-49319) |\n| 125 | [📖 Gaussian Mixture Model Initialization Methods](https://labex.io/tutorials/ml-gaussian-mixture-model-initialization-methods-49135) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gaussian-mixture-model-initialization-methods-49135) |\n| 126 | [📖 Partial Dependence and Individual Conditional Expectation](https://labex.io/tutorials/ml-partial-dependence-and-individual-conditional-expectation-71126) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-partial-dependence-and-individual-conditional-expectation-71126) |\n| 127 | [📖 ROC with Cross Validation](https://labex.io/tutorials/ml-roc-with-cross-validation-49273) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-roc-with-cross-validation-49273) |\n| 128 | [📖 Nonparametric Isotonic Regression with Scikit-Learn](https://labex.io/tutorials/ml-nonparametric-isotonic-regression-with-scikit-learn-49172) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-nonparametric-isotonic-regression-with-scikit-learn-49172) |\n| 129 | [📖 Sparse Signal Regression with L1-Based Models](https://labex.io/tutorials/ml-sparse-signal-regression-with-l1-based-models-49187) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-sparse-signal-regression-with-l1-based-models-49187) |\n| 130 | [📖 Non-Negative Least Squares Regression](https://labex.io/tutorials/ml-non-negative-least-squares-regression-49228) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-non-negative-least-squares-regression-49228) |\n| 131 | [📖 Quantile Regression with Scikit-Learn](https://labex.io/tutorials/ml-quantile-regression-with-scikit-learn-49251) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-quantile-regression-with-scikit-learn-49251) |\n| 132 | [📖 Detecting Outliers in Wine Data](https://labex.io/tutorials/ml-detecting-outliers-in-wine-data-49237) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-detecting-outliers-in-wine-data-49237) |\n| 133 | [📖 Exploring K-Means Clustering Assumptions](https://labex.io/tutorials/ml-exploring-k-means-clustering-assumptions-49179) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-exploring-k-means-clustering-assumptions-49179) |\n| 134 | [📖 Exploring Johnson-Lindenstrauss Lemma with Random Projections](https://labex.io/tutorials/ml-exploring-johnson-lindenstrauss-lemma-with-random-projections-49174) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-exploring-johnson-lindenstrauss-lemma-with-random-projections-49174) |\n| 135 | [📖 Principal Component Analysis with Kernel PCA](https://labex.io/tutorials/ml-principal-component-analysis-with-kernel-pca-49177) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-principal-component-analysis-with-kernel-pca-49177) |\n| 136 | [📖 Digit Dataset Analysis](https://labex.io/tutorials/ml-digit-dataset-analysis-49110) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-digit-dataset-analysis-49110) |\n| 137 | [📖 Plot Grid Search Digits](https://labex.io/tutorials/ml-plot-grid-search-digits-49155) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-grid-search-digits-49155) |\n| 138 | [📖 Anomaly Detection with Isolation Forest](https://labex.io/tutorials/ml-anomaly-detection-with-isolation-forest-49171) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-anomaly-detection-with-isolation-forest-49171) |\n| 139 | [📖 Plot Compare GPR KRR](https://labex.io/tutorials/ml-plot-compare-gpr-krr-49090) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-compare-gpr-krr-49090) |\n| 140 | [📖 Scikit-Learn MLPClassifier: Stochastic Learning Strategies](https://labex.io/tutorials/ml-scikit-learn-mlpclassifier-stochastic-learning-strategies-49215) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-mlpclassifier-stochastic-learning-strategies-49215) |\n| 141 | [📖 Linear Discriminant Analysis for Classification](https://labex.io/tutorials/ml-linear-discriminant-analysis-for-classification-49194) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-linear-discriminant-analysis-for-classification-49194) |\n| 142 | [📖 Plot Kernel Ridge Regression](https://labex.io/tutorials/ml-plot-kernel-ridge-regression-49178) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-kernel-ridge-regression-49178) |\n| 143 | [📖 Plot Random Forest Regression Multioutput](https://labex.io/tutorials/ml-plot-random-forest-regression-multioutput-49254) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-random-forest-regression-multioutput-49254) |\n| 144 | [📖 Comparison Between Grid Search and Successive Halving](https://labex.io/tutorials/ml-comparison-between-grid-search-and-successive-halving-49304) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-comparison-between-grid-search-and-successive-halving-49304) |\n| 145 | [📖 Plot Pca vs Fa Model Selection](https://labex.io/tutorials/ml-plot-pca-vs-fa-model-selection-49241) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-pca-vs-fa-model-selection-49241) |\n| 146 | [📖 Species Distribution Modeling](https://labex.io/tutorials/ml-species-distribution-modeling-49298) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-species-distribution-modeling-49298) |\n| 147 | [📖 Data Scaling and Transformation](https://labex.io/tutorials/ml-data-scaling-and-transformation-49064) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-data-scaling-and-transformation-49064) |\n| 148 | [📖 Demonstrating KBinsDiscretizer Strategies](https://labex.io/tutorials/ml-demonstrating-kbinsdiscretizer-strategies-49114) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-demonstrating-kbinsdiscretizer-strategies-49114) |\n| 149 | [📖 FeatureHasher and DictVectorizer Comparison](https://labex.io/tutorials/ml-featurehasher-and-dictvectorizer-comparison-49158) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-featurehasher-and-dictvectorizer-comparison-49158) |\n| 150 | [📖 Precompute Gram Matrix for ElasticNet](https://labex.io/tutorials/ml-precompute-gram-matrix-for-elasticnet-49118) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-precompute-gram-matrix-for-elasticnet-49118) |\n| 151 | [📖 Plot Huber vs Ridge](https://labex.io/tutorials/ml-plot-huber-vs-ridge-49160) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-huber-vs-ridge-49160) |\n| 152 | [📖 Scikit-Learn Lasso Regression](https://labex.io/tutorials/ml-scikit-learn-lasso-regression-49189) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-lasso-regression-49189) |\n| 153 | [📖 Sparse Signal Recovery with Orthogonal Matching Pursuit](https://labex.io/tutorials/ml-sparse-signal-recovery-with-orthogonal-matching-pursuit-49232) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-sparse-signal-recovery-with-orthogonal-matching-pursuit-49232) |\n| 154 | [📖 Plot SGD Separating Hyperplane](https://labex.io/tutorials/ml-plot-sgd-separating-hyperplane-49291) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-sgd-separating-hyperplane-49291) |\n| 155 | [📖 Step-by-Step Logistic Regression](https://labex.io/tutorials/ml-step-by-step-logistic-regression-49202) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-step-by-step-logistic-regression-49202) |\n| 156 | [📖 Empirical Evaluation of K-Means Initialization](https://labex.io/tutorials/ml-empirical-evaluation-of-k-means-initialization-49183) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-empirical-evaluation-of-k-means-initialization-49183) |\n| 157 | [📖 Neighborhood Components Analysis](https://labex.io/tutorials/ml-neighborhood-components-analysis-49225) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-neighborhood-components-analysis-49225) |\n| 158 | [📖 Kernel Density Estimate of Species Distributions](https://labex.io/tutorials/ml-kernel-density-estimate-of-species-distributions-49299) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-kernel-density-estimate-of-species-distributions-49299) |\n| 159 | [📖 Affinity Propagation Clustering](https://labex.io/tutorials/ml-affinity-propagation-clustering-49060) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-affinity-propagation-clustering-49060) |\n| 160 | [📖 Hierarchical Clustering Dendrogram](https://labex.io/tutorials/ml-hierarchical-clustering-dendrogram-49063) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-hierarchical-clustering-dendrogram-49063) |\n| 161 | [📖 Comparing BIRCH and MiniBatchKMeans](https://labex.io/tutorials/ml-comparing-birch-and-minibatchkmeans-49070) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-comparing-birch-and-minibatchkmeans-49070) |\n| 162 | [📖 Bisecting K-Means and Regular K-Means Performance Comparison](https://labex.io/tutorials/ml-bisecting-k-means-and-regular-k-means-performance-comparison-49071) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-bisecting-k-means-and-regular-k-means-performance-comparison-49071) |\n| 163 | [📖 Comparing Clustering Algorithms](https://labex.io/tutorials/ml-comparing-clustering-algorithms-49081) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-comparing-clustering-algorithms-49081) |\n| 164 | [📖 Demo of HDBSCAN Clustering Algorithm](https://labex.io/tutorials/ml-demo-of-hdbscan-clustering-algorithm-49159) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-demo-of-hdbscan-clustering-algorithm-49159) |\n| 165 | [📖 Mean-Shift Clustering Algorithm](https://labex.io/tutorials/ml-mean-shift-clustering-algorithm-49211) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-mean-shift-clustering-algorithm-49211) |\n| 166 | [📖 Unsupervised Clustering with K-Means](https://labex.io/tutorials/ml-unsupervised-clustering-with-k-means-71116) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-unsupervised-clustering-with-k-means-71116) |\n| 167 | [📖 Random Forest OOB Error Estimation](https://labex.io/tutorials/ml-random-forest-oob-error-estimation-49119) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-random-forest-oob-error-estimation-49119) |\n| 168 | [📖 Pixel Importances with Parallel Forest of Trees](https://labex.io/tutorials/ml-pixel-importances-with-parallel-forest-of-trees-49131) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-pixel-importances-with-parallel-forest-of-trees-49131) |\n| 169 | [📖 Image Segmentation with Hierarchical Clustering](https://labex.io/tutorials/ml-image-segmentation-with-hierarchical-clustering-49084) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-image-segmentation-with-hierarchical-clustering-49084) |\n| 170 | [📖 Plot Dict Face Patches](https://labex.io/tutorials/ml-plot-dict-face-patches-49104) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-dict-face-patches-49104) |\n| 171 | [📖 Gaussian Processes on Discrete Data Structures](https://labex.io/tutorials/ml-gaussian-processes-on-discrete-data-structures-49147) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gaussian-processes-on-discrete-data-structures-49147) |\n| 172 | [📖 Spectral Clustering for Image Segmentation](https://labex.io/tutorials/ml-spectral-clustering-for-image-segmentation-49278) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-spectral-clustering-for-image-segmentation-49278) |\n| 173 | [📖 SVM Tie Breaking](https://labex.io/tutorials/ml-svm-tie-breaking-49312) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-svm-tie-breaking-49312) |\n| 174 | [📖 Plot GPR Co2](https://labex.io/tutorials/ml-plot-gpr-co2-49144) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-gpr-co2-49144) |\n| 175 | [📖 Boosted Decision Tree Regression](https://labex.io/tutorials/ml-boosted-decision-tree-regression-49057) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-boosted-decision-tree-regression-49057) |\n| 176 | [📖 Bias-Variance Decomposition with Bagging](https://labex.io/tutorials/ml-bias-variance-decomposition-with-bagging-49068) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-bias-variance-decomposition-with-bagging-49068) |\n| 177 | [📖 Scikit-Learn Elastic-Net Regression Model](https://labex.io/tutorials/ml-scikit-learn-elastic-net-regression-model-49320) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-elastic-net-regression-model-49320) |\n| 178 | [📖 Plot Agglomerative Clustering](https://labex.io/tutorials/ml-plot-agglomerative-clustering-49062) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-agglomerative-clustering-49062) |\n| 179 | [📖 Map Data to a Normal Distribution](https://labex.io/tutorials/ml-map-data-to-a-normal-distribution-49209) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-map-data-to-a-normal-distribution-49209) |\n| 180 | [📖 Cross-Validation with Linear Models](https://labex.io/tutorials/ml-cross-validation-with-linear-models-49098) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-cross-validation-with-linear-models-49098) |\n| 181 | [📖 SVM: Maximum Margin Separating Hyperplane](https://labex.io/tutorials/ml-svm-maximum-margin-separating-hyperplane-49284) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-svm-maximum-margin-separating-hyperplane-49284) |\n| 182 | [📖 SVM for Unbalanced Classes](https://labex.io/tutorials/ml-svm-for-unbalanced-classes-49283) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-svm-for-unbalanced-classes-49283) |\n| 183 | [📖 Preprocessing Techniques in Scikit-Learn](https://labex.io/tutorials/ml-preprocessing-techniques-in-scikit-learn-71130) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-preprocessing-techniques-in-scikit-learn-71130) |\n| 184 | [📖 Agglomerative Clustering Metrics](https://labex.io/tutorials/ml-agglomerative-clustering-metrics-49061) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-agglomerative-clustering-metrics-49061) |\n| 185 | [📖 Logistic Regression Classifier on Iris Dataset](https://labex.io/tutorials/ml-logistic-regression-classifier-on-iris-dataset-49169) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-logistic-regression-classifier-on-iris-dataset-49169) |\n| 186 | [📖 Scikit-Learn Multi-Class SGD Classifier](https://labex.io/tutorials/ml-scikit-learn-multi-class-sgd-classifier-49288) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-multi-class-sgd-classifier-49288) |\n| 187 | [📖 Incremental Principal Component Analysis on Iris Dataset](https://labex.io/tutorials/ml-incremental-principal-component-analysis-on-iris-dataset-49164) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-incremental-principal-component-analysis-on-iris-dataset-49164) |\n| 188 | [📖 Sparse Inverse Covariance Estimation](https://labex.io/tutorials/ml-sparse-inverse-covariance-estimation-49295) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-sparse-inverse-covariance-estimation-49295) |\n| 189 | [📖 Nearest Centroid Classification](https://labex.io/tutorials/ml-nearest-centroid-classification-49226) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-nearest-centroid-classification-49226) |\n| 190 | [📖 Probabilistic Predictions with Gaussian Process Classification](https://labex.io/tutorials/ml-probabilistic-predictions-with-gaussian-process-classification-49143) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-probabilistic-predictions-with-gaussian-process-classification-49143) |\n| 191 | [📖 Gradient Boosting Monotonic Constraints](https://labex.io/tutorials/ml-gradient-boosting-monotonic-constraints-49218) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gradient-boosting-monotonic-constraints-49218) |\n| 192 | [📖 Scikit-Learn Confusion Matrix](https://labex.io/tutorials/ml-scikit-learn-confusion-matrix-49094) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-confusion-matrix-49094) |\n| 193 | [📖 Recognizing Hand-Written Digits](https://labex.io/tutorials/ml-recognizing-hand-written-digits-49107) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-recognizing-hand-written-digits-49107) |\n| 194 | [📖 Gradient Boosting Regularization](https://labex.io/tutorials/ml-gradient-boosting-regularization-49154) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gradient-boosting-regularization-49154) |\n| 195 | [📖 Label Propagation Learning](https://labex.io/tutorials/ml-label-propagation-learning-49186) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-label-propagation-learning-49186) |\n| 196 | [📖 Semi-Supervised Learning Algorithms](https://labex.io/tutorials/ml-semi-supervised-learning-algorithms-71111) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-semi-supervised-learning-algorithms-71111) |\n| 197 | [📖 Nonlinear Data Regression Techniques](https://labex.io/tutorials/ml-nonlinear-data-regression-techniques-20804) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-nonlinear-data-regression-techniques-20804) |\n| 198 | [📖 Prediction for Bitcoin Price](https://labex.io/tutorials/ml-prediction-for-bitcoin-price-20806) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-prediction-for-bitcoin-price-20806) |\n| 199 | [📖 Shrinkage Covariance Estimation](https://labex.io/tutorials/ml-shrinkage-covariance-estimation-49096) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-shrinkage-covariance-estimation-49096) |\n| 200 | [📖 Visualize High-Dimensional Data with MDS](https://labex.io/tutorials/ml-visualize-high-dimensional-data-with-mds-49210) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-visualize-high-dimensional-data-with-mds-49210) |\n| 201 | [📖 Gaussian Mixture Model Covariances](https://labex.io/tutorials/ml-gaussian-mixture-model-covariances-49134) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gaussian-mixture-model-covariances-49134) |\n| 202 | [📖 Gaussian Mixture Model Selection](https://labex.io/tutorials/ml-gaussian-mixture-model-selection-49137) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-gaussian-mixture-model-selection-49137) |\n| 203 | [📖 Semi-Supervised Classifiers on the Iris Dataset](https://labex.io/tutorials/ml-semi-supervised-classifiers-on-the-iris-dataset-49282) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-semi-supervised-classifiers-on-the-iris-dataset-49282) |\n| 204 | [📖 Explicit Feature Map Approximation for RBF Kernels](https://labex.io/tutorials/ml-explicit-feature-map-approximation-for-rbf-kernels-49176) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-explicit-feature-map-approximation-for-rbf-kernels-49176) |\n| 205 | [📖 Plot Pca vs Lda](https://labex.io/tutorials/ml-plot-pca-vs-lda-49242) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-plot-pca-vs-lda-49242) |\n| 206 | [📖 Manifold Learning on Spherical Data](https://labex.io/tutorials/ml-manifold-learning-on-spherical-data-49208) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-manifold-learning-on-spherical-data-49208) |\n| 207 | [📖 Faces Dataset Decompositions](https://labex.io/tutorials/ml-faces-dataset-decompositions-49124) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-faces-dataset-decompositions-49124) |\n| 208 | [📖 Random Classification Dataset Plotting](https://labex.io/tutorials/ml-random-classification-dataset-plotting-49252) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-random-classification-dataset-plotting-49252) |\n| 209 | [📖 Multilabel Dataset Generation with Scikit-Learn](https://labex.io/tutorials/ml-multilabel-dataset-generation-with-scikit-learn-49255) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-multilabel-dataset-generation-with-scikit-learn-49255) |\n| 210 | [📖 Swiss Roll and Swiss-Hole Reduction](https://labex.io/tutorials/ml-swiss-roll-and-swiss-hole-reduction-49313) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-swiss-roll-and-swiss-hole-reduction-49313) |\n| 211 | [📖 Scikit-Learn Libsvm GUI](https://labex.io/tutorials/ml-scikit-learn-libsvm-gui-49333) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-scikit-learn-libsvm-gui-49333) |\n| 212 | [📖 Vector Quantization with KBinsDiscretizer](https://labex.io/tutorials/ml-vector-quantization-with-kbinsdiscretizer-49122) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-vector-quantization-with-kbinsdiscretizer-49122) |\n| 213 | [📖 Hierarchical Clustering with Scikit-Learn](https://labex.io/tutorials/ml-hierarchical-clustering-with-scikit-learn-49198) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-hierarchical-clustering-with-scikit-learn-49198) |\n| 214 | [📖 Transforming the Prediction Target](https://labex.io/tutorials/ml-transforming-the-prediction-target-71136) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-transforming-the-prediction-target-71136) |\n| 215 | [📖 Feature Agglomeration for High-Dimensional Data](https://labex.io/tutorials/ml-feature-agglomeration-for-high-dimensional-data-49105) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-feature-agglomeration-for-high-dimensional-data-49105) |\n| 216 | [📖 Feature Extraction with Scikit-Learn](https://labex.io/tutorials/ml-feature-extraction-with-scikit-learn-71129) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-feature-extraction-with-scikit-learn-71129) |\n| 217 | [📖 Comparison of F-Test and Mutual Information](https://labex.io/tutorials/ml-comparison-of-f-test-and-mutual-information-49121) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-comparison-of-f-test-and-mutual-information-49121) |\n| 218 | [📖 Curve Fitting with Bayesian Ridge Regression](https://labex.io/tutorials/ml-curve-fitting-with-bayesian-ridge-regression-49067) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-curve-fitting-with-bayesian-ridge-regression-49067) |\n| 219 | [📖 Lasso and Elastic Net](https://labex.io/tutorials/ml-lasso-and-elastic-net-49188) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-lasso-and-elastic-net-49188) |\n| 220 | [📖 Logistic Regression Model](https://labex.io/tutorials/ml-logistic-regression-model-49205) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-logistic-regression-model-49205) |\n| 221 | [📖 Joint Feature Selection with Multi-Task Lasso](https://labex.io/tutorials/ml-joint-feature-selection-with-multi-task-lasso-49220) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-joint-feature-selection-with-multi-task-lasso-49220) |\n| 222 | [📖 Applying Regularization Techniques with SGD](https://labex.io/tutorials/ml-applying-regularization-techniques-with-sgd-49290) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-applying-regularization-techniques-with-sgd-49290) |\n| 223 | [📖 Theil-Sen Regression with Python Scikit-Learn](https://labex.io/tutorials/ml-theil-sen-regression-with-python-scikit-learn-49317) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-theil-sen-regression-with-python-scikit-learn-49317) |\n| 224 | [📖 Compressive Sensing Image Reconstruction](https://labex.io/tutorials/ml-compressive-sensing-image-reconstruction-49318) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-compressive-sensing-image-reconstruction-49318) |\n| 225 | [📖 Decision Tree Regression](https://labex.io/tutorials/ml-decision-tree-regression-49323) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-decision-tree-regression-49323) |\n| 226 | [📖 Multi-Output Decision Tree Regression](https://labex.io/tutorials/ml-multi-output-decision-tree-regression-49322) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-multi-output-decision-tree-regression-49322) |\n| 227 | [📖 Simple 1D Kernel Density Estimation](https://labex.io/tutorials/ml-simple-1d-kernel-density-estimation-49175) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-simple-1d-kernel-density-estimation-49175) |\n| 228 | [📖 Local Outlier Factor for Novelty Detection](https://labex.io/tutorials/ml-local-outlier-factor-for-novelty-detection-49200) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-local-outlier-factor-for-novelty-detection-49200) |\n| 229 | [📖 Outlier Detection with LOF](https://labex.io/tutorials/ml-outlier-detection-with-lof-49201) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-outlier-detection-with-lof-49201) |\n| 230 | [📖 Density Estimation Using Kernel Density](https://labex.io/tutorials/ml-density-estimation-using-kernel-density-71121) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-density-estimation-using-kernel-density-71121) |\n| 231 | [📖 Exploring K-Means Clustering with Python](https://labex.io/tutorials/ml-exploring-k-means-clustering-with-python-49082) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-exploring-k-means-clustering-with-python-49082) |\n| 232 | [📖 Agglomerative Clustering on Digits Dataset](https://labex.io/tutorials/ml-agglomerative-clustering-on-digits-dataset-49111) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-agglomerative-clustering-on-digits-dataset-49111) |\n| 233 | [📖 OPTICS Clustering Algorithm](https://labex.io/tutorials/ml-optics-clustering-algorithm-49234) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-optics-clustering-algorithm-49234) |\n| 234 | [📖 Biclustering in Scikit-Learn](https://labex.io/tutorials/ml-biclustering-in-scikit-learn-71117) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-biclustering-in-scikit-learn-71117) |\n| 235 | [📖 Regularization Path of L1-Logistic Regression](https://labex.io/tutorials/ml-regularization-path-of-l1-logistic-regression-49204) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-regularization-path-of-l1-logistic-regression-49204) |\n| 236 | [📖 Support Vector Regression](https://labex.io/tutorials/ml-support-vector-regression-49310) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-support-vector-regression-49310) |\n| 237 | [📖 Centroid Based Clustering](https://labex.io/tutorials/ml-centroid-based-clustering-20754) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-centroid-based-clustering-20754) |\n| 238 | [📖 Neural Network Models](https://labex.io/tutorials/ml-neural-network-models-71113) | ★☆☆ | [🔗 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Naive Bayes](https://labex.io/tutorials/ml-probabilistic-classification-with-naive-bayes-20801) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-probabilistic-classification-with-naive-bayes-20801) |\n| 261 | [📖 Blind Source Separation](https://labex.io/tutorials/ml-blind-source-separation-49161) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-blind-source-separation-49161) |\n| 262 | [📖 Independent Component Analysis with FastICA and PCA](https://labex.io/tutorials/ml-independent-component-analysis-with-fastica-and-pca-49162) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-independent-component-analysis-with-fastica-and-pca-49162) |\n| 263 | [📖 Iris Flower Classification with Scikit-learn](https://labex.io/tutorials/ml-iris-flower-classification-with-scikit-learn-49166) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-iris-flower-classification-with-scikit-learn-49166) |\n| 264 | [📖 Principal Components Analysis](https://labex.io/tutorials/ml-principal-components-analysis-49239) | ★☆☆ | [🔗 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Bagging and Boosting Method](https://labex.io/tutorials/ml-bagging-and-boosting-method-20749) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-bagging-and-boosting-method-20749) |\n| 279 | [📖 Hierarchical Clustering Exploration for Clustering](https://labex.io/tutorials/ml-hierarchical-clustering-exploration-for-clustering-20782) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-hierarchical-clustering-exploration-for-clustering-20782) |\n| 280 | [📖 Guide of Tensorflow](https://labex.io/tutorials/ml-guide-of-tensorflow-20777) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-guide-of-tensorflow-20777) |\n| 281 | [📖 Shallow Neural Network Implemented by Tensorflow 2](https://labex.io/tutorials/ml-shallow-neural-network-implemented-by-tensorflow-2-20809) | ★☆☆ | [🔗 View](https://labex.io/tutorials/ml-shallow-neural-network-implemented-by-tensorflow-2-20809) |\n| 282 | [📖 Tensorflow 2 Model Saving and Restoring](https://labex.io/tutorials/ml-tensorflow-2-model-saving-and-restoring-20813) | ★☆☆ | 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